the availability of sugarcane bagasse ash produced by Arasoe Sugar Factory, it is not used utilized. That sugarcane bagasse ash has size very fine that it can pollute the air. The sugarcane bagasse ash has silicate content, and it has pozzolan properties. The needs of construction material are something that to think about that. It is an alternative to substitute the using of cement in concrete construction. This study is aimed to find the potential of sugarcane bagasse ash in Arasoe Sugar Factory for partial substitution of cement in concrete. The sample made from the variety of sugarcane bagasse ash 0%, 2.5%, 5%, and 7.5% as partial substitution of cement in concrete. The ratio of water and cement is 0.45. The specimen of concrete is taken care in standard condition at the laboratory and compressive strength test when the sample is in 28, 45, and 62 days old. The compressive strength test refers to ASTM C39/ C39M-01 (Standard Test Method for Compressive Strength of Cylindrical Concrete Specimens). The development of compressive strength of concrete with many variations of sugarcane bagasse ash 0% 2.5%, 5% is increasing along with the age of concrete, however in contrast with 7.5% of sugarcane bagasse ash the decreasing in 60 days old later. Partial substitute of sugarcane bagasse ash in concrete is possible to do in an amount about 5% of sugarcane bagasse ash.

Abstract-The electrocardiogram (ECG) will create the characteristic in the form of the wave's peak pattern. The first peak and the next one in one ECG wave have their own value and names, namely PQRST peaks. The process of feature extraction is very significant to determine the certain pattern. The use of feature extraction will be useful to help to detect certain case, including the determination of PQRST peaks according to the ECG print-out. This study makes a method to determine the ECG peaks (PQRST), the heart rate, and ST-deviation according to the ECG graphic image. The input data is in the form of ECG graphic image which is derived from the ECG 12 lead record. This study employs segmentation method (grayscale and binary), morphology (dilation and erosion), and produce the graphic image which is read as the ECG signal in the pre-processing stage, and use the Pan-Tompkins algorithm for the feature extraction method. The result of the peak determination is validated by cardiologists. The validation shows that the result of up and down deflection computation from the isoelectric of each P, Q, R, S, and T wave has represented the ECG calculation clinically; including the calculation to determine the R-R interval, heart rate, and STdeviation.